Programming-Notebook

Programming Notebook

A collection of BeakerX IPython notebooks and PDFs about various topics I actively study.

Layout

• Big Data: A collection of anecdotal notes regarding Big Data.
• Books: A collection of detailed notes regarding various books in STEM which I have read.
• Courses: A collection of notes from my senior year in ECE at the University of Waterloo.
• Data Structures and Algorithms: A collection of detailed notes regarding Data Structures and Algorithms when preparing for a technical interview in Java.
• Databases: A collection of detailed notes regarding DBMSs.
• Papers: A collection of papers and surveys of various topics in STEM which I have read.
• Programming Languages: A reference to documentation, development, testing, and productionizing, given a programming language.
• References: A reference of various topics in STEM each with a hyperlink to an article introducing it.

Links

• Big Data
  • Big Data Ecosystem
• Books
  • Anomaly Detection Principles and Algorithms
  • Crucial Conversations
  • Database System Concepts
  • Probability and Statistics for Computer Science
• Courses
  • ECE 405 - Introduction to Quantum Mechanics
  • ECE 453 - Software Testing, Quality Assurance, and Maintenance
  • ECE 454 - Distributed Computing
  • ECE 457A - Cooperative and Adaptive Algorithms
  • ECE 459 - Programming for Performance
  • ECE 493 - Probabilistic Reasoning and Decision Making
• Data Structures and Algorithms
  • 1. Java Standard Library
  • 2. Data Structures
  • 3. Sorting and Searching
  • 4. Combinations and Permutations
  • 5. Backtracking
  • 6. Dynamic Programming
  • 7. Graphs
  • 8. Trees
  • 9. Bit Hacks
  • 10. Strings
• Databases
  • Architecture of a Database System
  • PostgreSQL
• Papers
• Programming Languages
  • C99
  • Java
  • Python 3
  • Scala
• References

Converting Notebooks to HTML

Pre-Commit

1. Install pre-commit.

   pip install pre-commit
   

2. Clone the repository.

   git clone git@github.com:jparkie/Programming-Notebook.git
   

3. Initialize pre-commit in the repository root directory.

   pre-commit install
   

4. Convert all BeakerX IPython notebooks into HTML.

   pre-commit run --all-files